K3est(X, ..., rmax = NULL, nrval = 128, correction = c("translation", "isotropic"))
"pp3"
).nrval
is required to avoid discretisation effects."fv"
) that can be
plotted, printed or coerced to a data frame containing the function values.X
is assumed to be a
partial realisation of a stationary point process $\Phi$.
The distance between each pair of distinct points is computed.
The empirical cumulative distribution
function of these values, with appropriate edge corrections, is
renormalised to give the estimate of $K_3(r)$.The available edge corrections are: [object Object],[object Object]
Ohser, J. (1983) On estimators for the reduced second moment measure of point processes. Mathematische Operationsforschung und Statistik, series Statistics, 14, 63 -- 71.
Ripley, B.D. (1977) Modelling spatial patterns (with discussion). Journal of the Royal Statistical Society, Series B, 39, 172 -- 212.
F3est
,
G3est
X <- rpoispp3(42)
Z <- K3est(X)
if(interactive()) plot(Z)
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